mirror of
https://github.com/Evolution-X/hardware_interfaces
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This CL creates Device, PreparedModel, and Buffer classes which adapt a
canonical interface to a NN 1.3 HIDL interface.
Bug: 160668438
Test: mma
Change-Id: Ifee27858efd280307a299b3fe2e1a4bd9240e9de
Merged-In: Ifee27858efd280307a299b3fe2e1a4bd9240e9de
(cherry picked from commit 323dd0c2dc)
73 lines
2.8 KiB
C++
73 lines
2.8 KiB
C++
/*
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* Copyright (C) 2020 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_ADAPTER_H
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#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_ADAPTER_H
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#include <android/hardware/neuralnetworks/1.3/IDevice.h>
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#include <nnapi/IDevice.h>
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#include <nnapi/Types.h>
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#include <sys/types.h>
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#include <functional>
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#include <memory>
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// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
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// lifetimes across processes and for protecting asynchronous calls across HIDL.
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namespace android::hardware::neuralnetworks::adapter {
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/**
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* A self-contained unit of work to be executed.
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*/
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using Task = std::function<void()>;
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/**
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* A type-erased executor which executes a task asynchronously.
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*
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* This executor is also provided with an Application ID (Android User ID) and an optional deadline
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* for when the caller expects is the upper bound for the amount of time to complete the task.
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*/
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using Executor = std::function<void(Task, uid_t, nn::OptionalTimePoint)>;
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/**
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* Adapt an NNAPI canonical interface object to a HIDL NN HAL interface object.
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*
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* The IPreparedModel object created from IDevice::prepareModel or IDevice::preparedModelFromCache
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* must return "const nn::Model*" from IPreparedModel::getUnderlyingResource().
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*
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* @param device NNAPI canonical IDevice interface object to be adapted.
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* @param executor Type-erased executor to handle executing tasks asynchronously.
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* @return HIDL NN HAL IDevice interface object.
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*/
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sp<V1_3::IDevice> adapt(nn::SharedDevice device, Executor executor);
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/**
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* Adapt an NNAPI canonical interface object to a HIDL NN HAL interface object.
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*
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* The IPreparedModel object created from IDevice::prepareModel or IDevice::preparedModelFromCache
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* must return "const nn::Model*" from IPreparedModel::getUnderlyingResource().
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*
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* This function uses a default executor, which will execute tasks from a detached thread.
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*
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* @param device NNAPI canonical IDevice interface object to be adapted.
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* @return HIDL NN HAL IDevice interface object.
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*/
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sp<V1_3::IDevice> adapt(nn::SharedDevice device);
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} // namespace android::hardware::neuralnetworks::adapter
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#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_ADAPTER_H
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